Prediction of postoperative hepatic insufficiency by liver stiffness measurement (FibroScan®) before curative resection of hepatocellular carcinoma: A pilot study

Seung Up Kim, Sang Hoon Ahn, Jun Yong Park, Do Young Kim, Chae Yoon Chon, Jin Sub Choi, Kyung Sik Kim, Kwang Hyub Han

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68 Citations (Scopus)

Abstract

Background: Liver stiffness measurement (LSM) using transient elastography (FibroScan®) reflects the degree of hepatic fibrosis. This prospective study investigated how well LSM predicts the development of hepatic insufficiency after curative liver resection surgery for hepatocellular carcinoma. Methods: The study enrolled 72 consecutive patients who underwent a preoperative LSM to assess the degree of liver fibrosis followed by curative liver resection surgery for hepatocellular carcinoma between July 2006 and December 2007. The primary end point was the development of hepatic insufficiency. Results: The mean age of the patients was 54.9 years. Twenty patients (27.7%) had chronic hepatitis and 52 (72.3%) had cirrhosis (44 and 8 patients showed Child-Pugh class A and B, respectively). The mean LSM was 17.1 kPa. Twelve patients (16.6%) had segmentectomy only, 16 patients (22.2%) had bisegmentectomy, and 44 patients (61.2%) had lobectomy. Nine patients (12.5%) had stage I tumor, 56 (77.7%) had stage II, and 7 (9.8%) had stage III. Univariate and subsequent multivariate analyses revealed that preoperative LSM was the only independent risk factor for predicting the development of postoperative hepatic insufficiency (cutoff, 25.6 kPa; P = 0.001; relative risk, 19.14; 95% confidence interval, 2.71-135.36). Conclusions: LSM is potentially useful to predict the development of postoperative hepatic insufficiency in patients with hepatocellular carcinoma undergoing curative liver resection surgery.

Original languageEnglish
Pages (from-to)471-477
Number of pages7
JournalHepatology International
Volume2
Issue number4
DOIs
Publication statusPublished - 2008

Bibliographical note

Funding Information:
Acknowledgments The authors thank Eun Hee Choi (Department of Biostatistics, Yonsei University College of Medicine, Seoul, Republic of Korea) for critical comments on statistics and Hyo Jin Yang for FibroScan® examination. This study was supported by the grant of the Good Health R&D Project from the Ministry of Health and Welfare, Republic of Korea (A050021), and in part by the grant from Brain Korea 21 Project for Medical Science.

All Science Journal Classification (ASJC) codes

  • Hepatology

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